Triple
T23172322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Heights |
E578891
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Melanie Griffith |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Melanie Griffith | Statement: [Pacific Heights, starring, Melanie Griffith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melanie Griffith Context triple: [Pacific Heights, starring, Melanie Griffith]
-
A.
Melanie Griffith
chosen
Melanie Griffith is an American actress known for her roles in films such as "Working Girl" and "Something Wild," and as a prominent figure in Hollywood since the 1970s.
-
B.
Liv Tyler
Liv Tyler is an American actress and former model best known for her role as the elf Arwen in Peter Jackson’s The Lord of the Rings film trilogy.
-
C.
Stefanie Pitt
Stefanie Pitt is the daughter of British-Polish actress and horror icon Ingrid Pitt.
-
D.
Demi Moore
Demi Moore is an American actress and film producer known for her leading roles in hit films of the 1980s and 1990s such as "Ghost," "A Few Good Men," and "G.I. Jane."
-
E.
Jami Gertz
Jami Gertz is an American actress known for her roles in 1980s films and television series, including standout performances in movies like "The Lost Boys" and "Quicksilver."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f30ce148190a6de928c8213399e |
completed | April 29, 2026, 4:55 a.m. |
Created at: April 17, 2026, 4:04 p.m.